Overview
University of Sheffield: We welcome applications for a postdoctoral research associate position, funded as part of an EPSRC Programme Grant “Networks of Cardiovascular Digital Twins (CVD-Net)”. This is an exciting opportunity to be part of a revolution in the way that healthcare is delivered. This position is funded as part of an £8M EPSRC programme grant “Networks of Cardiovascular Digital Twins (CVD-Net)”, which is jointly held by Imperial College London, the Universities of Sheffield and Nottingham, and the Alan Turing Institute. The wider focus of this research programme is to develop both physics-based and data-driven models of heart function and blood flow through the cardiovascular system that are personalised to individual patients and updated whenever new data from wearable and implanted sensors are available. This post will focus on using these agile and personalised digital twins to forecast the disease trajectories of individual patients, and to assess the value of model-based forecasting over purely data based methods.
You will be working as part of a friendly and interdisciplinary research team based across all four institutions that includes other postdoctoral research assistants, PhD students, and software developers, all working at the interface between engineering and clinical medicine. Your focus will be on developing computational tools to enable forecasting of disease trajectories.
Responsibilities
* Develop computational tools to enable forecasting of disease trajectories using personalised digital twins.
* Collaborate as part of an interdisciplinary team across four institutions (Imperial College London, University of Sheffield, University of Nottingham, and the Alan Turing Institute).
* Contribute to bridging engineering and clinical medicine through software development and research coding practices.
Qualifications
* Hold (or be very close to completion of) a PhD in Mathematics, Computer Science, Engineering, Statistics, or a related area, with a track record in statistical methods and their application to engineering problems in healthcare.
* Excellent coding skills and a solid mathematics background (or equivalent experience).
* Experience with cardiac and cardiovascular system models, large-scale scientific computing, and the development and management of research code.
* Ambition to work in a vibrant interdisciplinary environment and to build tools that will make a difference to patients.
Benefits
* Competitive salary and a generous Pension Scheme as part of the University’s Total Reward Package.
* Annual leave entitlement and access to a range of learning and development courses to support personal and professional development.
* Opportunity to work in a not-for-profit environment and contribute to impactful cardiovascular research.
We build teams of people from diverse backgrounds across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
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